Introduction

neuroGrape is a free UCI chess engine based on Grapefruit 1.0[fn:1] which is based on Toga II 1.4 beta5c[fn:2]. neuroGrape is an attempt to integrate a backpropagation neural network as an evaluation function.

Usage

The engine has 4 modes of play, controlled by the “Mode” UCI parameter:

0 - original Grapefruit eval is logged to files. There has to be a `logs’ directory along the neuroGrape executable. These log files can be processed by the neuroChessTrainer[fn:3] program to train and test networks. This mode can work correctly only on single thread so be sure to specify “Threads” UCI parameter as 1.

1 - online training. The original Grapefruit eval is used to train the network specified by the “Neural Network File” UCI parameter whose evaluation is actually used for playing. This mode is the slowest but the most interesting as the engine is supposed to improve somewhat with every move (in fact, with every thought)! The neural network file format can be found at [fn:3] (not fully specified network is also allowed). If the file is missing, new network is created and will be freshly initialized. Newly trained network is saved to the same file when engine is unloaded. For this mode a single engine thread is also mandatory but there is additional “Training Threads” UCI parameter which specifies number of threads within the neural network.

2 - neural network specified by “Neural Network File” UCI parameter is used for evaluation (again not fully specified network or missing network file is also allowed but it will be freshly initialized and thus playing randomly). Multiple threads specified by the “Threads” UCI parameter are allowed.

3 - original Grapefruit playing.

MISC

neuroGrape is developed and thus far only tested on GNU/Linux. To build from source invoke `make’ in the source directory.

Disclaimer

neuroGrape is an experiment (more like meta-engine) and in combination with neuroChessTrainer[fn:3] supposed to be testing platform for different backpropagation neural networks. There are no expectations for engine strength and as far as hardly trained, it plays like a novice drunkard.

Footnotes

[fn:1] http://sourceforge.net/projects/grapefruitchess [fn:2] http://www.computerchess.info/tdbb/phpBB3/viewforum.php?f=9 [fn:3] https://github.com/m00natic/neuroChessTrainer

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.gitignore		.gitignore
Makefile		Makefile
README.org		README.org
attack.cpp		attack.cpp
attack.h		attack.h
board.cpp		board.cpp
board.h		board.h
book.cpp		book.cpp
book.h		book.h
bpn.cpp		bpn.cpp
bpn.h		bpn.h
bpnlayer.cpp		bpnlayer.cpp
bpnlayer.h		bpnlayer.h
colour.h		colour.h
copying.txt		copying.txt
eval.cpp		eval.cpp
eval.h		eval.h
fen.cpp		fen.cpp
fen.h		fen.h
grape.bpn		grape.bpn
hash.cpp		hash.cpp
hash.h		hash.h
list.cpp		list.cpp
list.h		list.h
main.cpp		main.cpp
material.cpp		material.cpp
material.h		material.h
move.cpp		move.cpp
move.h		move.h
move_check.cpp		move_check.cpp
move_check.h		move_check.h
move_do.cpp		move_do.cpp
move_do.h		move_do.h
move_evasion.cpp		move_evasion.cpp
move_evasion.h		move_evasion.h
move_gen.cpp		move_gen.cpp
move_gen.h		move_gen.h
move_legal.cpp		move_legal.cpp
move_legal.h		move_legal.h
option.cpp		option.cpp
option.h		option.h
pawn.cpp		pawn.cpp
pawn.h		pawn.h
piece.cpp		piece.cpp
piece.h		piece.h
polyglot.ini		polyglot.ini
posix.cpp		posix.cpp
posix.h		posix.h
probe.cpp		probe.cpp
probe.h		probe.h
protocol.cpp		protocol.cpp
protocol.h		protocol.h
pst.cpp		pst.cpp
pst.h		pst.h
pv.cpp		pv.cpp
pv.h		pv.h
random.cpp		random.cpp
random.h		random.h
recog.cpp		recog.cpp
recog.h		recog.h
search.cpp		search.cpp
search.h		search.h
search_full.cpp		search_full.cpp
search_full.h		search_full.h
see.cpp		see.cpp
see.h		see.h
sort.cpp		sort.cpp
sort.h		sort.h
square.cpp		square.cpp
square.h		square.h
trans.cpp		trans.cpp
trans.h		trans.h
util.cpp		util.cpp
util.h		util.h
value.cpp		value.cpp
value.h		value.h
vector.cpp		vector.cpp
vector.h		vector.h

License

m00natic/neuroGrape

Folders and files

Latest commit

History